The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-09-05"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "26873146 (up from 26609482 yesterday: 0.99 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "879307 (up from 874369 yesterday: 0.56 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5413447

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.27



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 6244970 44452 0.72 883805 188538 783 0.42 3.02
Brazil 4123000 31199 0.76 805904 126203 701 0.56 3.06
India 4113811 90632 2.25 1523859 70626 1065 1.53 1.72
Russia 1017131 5144 0.51 101323 17707 109 0.62 1.74
Peru 676848 6703 1.00 160552 29554 149 0.51 4.37
Colombia 650055 8481 1.32 193366 20886 268 1.30 3.21
South Africa 636884 1806 0.28 53231 14779 101 0.69 2.32
Mexico 629409 6319 1.01 111695 67326 475 0.71 10.70
Spain 498989 0 0.00 156176 29418 0 0.00 5.90
Argentina 471806 9924 2.15 182706 9739 116 1.21 2.06
Chile 420434 1965 0.47 36532 11551 57 0.50 2.75
Iran 384666 1894 0.49 43596 22154 110 0.50 5.76
France 347267 0 0.00 94302 30730 0 0.00 8.85
United Kingdom 346513 1827 0.53 27281 41638 12 0.03 12.02
Bangladesh 323565 1950 0.61 49040 4447 35 0.79 1.37
Saudi Arabia 319932 791 0.25 22617 4049 34 0.85 1.27
Pakistan 298025 0 0.00 9978 6340 0 0.00 2.13
Turkey 278228 1673 0.60 30111 6620 56 0.85 2.38
Italy 276338 1694 0.62 22900 35534 16 0.05 12.86
Iraq 256719 4644 1.84 84136 7422 63 0.86 2.89
Germany 251058 775 0.31 26570 9329 2 0.02 3.72
Philippines 234570 2498 1.08 76652 3790 53 1.42 1.62
Indonesia 190665 3128 1.67 53197 7940 108 1.38 4.16
Ukraine 136966 2897 2.16 45171 2863 51 1.81 2.09
Canada 133511 370 0.28 9686 9192 2 0.02 6.88
Israel 128936 2517 1.99 36703 1007 14 1.41 0.78
Bolivia 120241 661 0.55 21095 5398 55 1.03 4.49
Qatar 119864 227 0.19 5055 202 1 0.50 0.17
Ecuador 118045 870 0.74 17357 6724 50 0.75 5.70
Kazakhstan 106301 76 0.07 3605 1588 0 0.00 1.49
Egypt 99712 130 0.13 3376 5511 16 0.29 5.53
Dominican Republic 98776 2147 2.22 13231 1840 39 2.17 1.86
Panama 96305 709 0.74 15640 2075 12 0.58 2.15
Romania 93864 1269 1.37 24490 3850 38 1.00 4.10
China 90025 17 0.02 746 4728 0 0.00 5.25
Kuwait 88963 720 0.82 13266 540 3 0.56 0.61
Belgium 87825 651 0.75 9956 9906 5 0.05 11.28
Oman 86380 0 0.00 3456 705 0 0.00 0.82
Sweden 84985 0 0.00 691 5835 0 0.00 6.87
Guatemala 77481 441 0.57 15168 2845 20 0.71 3.67
Netherlands 76907 734 0.96 13018 6275 5 0.08 8.16
United Arab Emirates 73471 705 0.97 9369 388 1 0.26 0.53
Belarus 72663 178 0.25 3355 705 4 0.57 0.97
Japan 71467 601 0.85 16416 1361 9 0.67 1.90
Poland 70387 567 0.81 14297 2113 13 0.62 3.00
Morocco 70160 1555 2.27 29143 1329 37 2.86 1.89
Honduras 64352 554 0.87 14373 2006 22 1.11 3.12
Portugal 59943 486 0.82 5962 1838 5 0.27 3.07
Ethiopia 57466 950 1.68 28572 897 17 1.93 1.56
Singapore 56982 34 0.06 1321 27 0 0.00 0.05
Nigeria 54905 162 0.30 6135 1054 3 0.29 1.92
Bahrain 54771 676 1.25 8341 196 1 0.51 0.36
Venezuela 52165 1192 2.34 19558 420 8 1.94 0.81
Costa Rica 46920 1240 2.71 19183 478 9 1.92 1.02
Algeria 46071 298 0.65 7938 1549 10 0.65 3.36
Nepal 45277 1041 2.35 19258 280 9 3.32 0.62
Ghana 44777 0 0.00 2567 283 0 0.00 0.63
Armenia 44649 188 0.42 3154 895 4 0.45 2.00
Kyrgyzstan 44293 94 0.21 2648 1060 0 0.00 2.39
Switzerland 43957 425 0.98 6033 2013 0 0.00 4.58
Uzbekistan 43293 295 0.69 8765 343 5 1.48 0.79
Moldova 39473 567 1.46 9568 1063 16 1.53 2.69
Afghanistan 38324 20 0.05 773 1409 0 0.00 3.68
Azerbaijan 37192 161 0.43 3085 545 2 0.37 1.47
Kenya 35020 136 0.39 5171 594 5 0.85 1.70
Serbia 31849 77 0.24 2378 723 2 0.28 2.27
Ireland 29534 231 0.79 2343 1777 0 0.00 6.02
Austria 29087 358 1.25 5908 735 0 0.00 2.53
Czechia 27752 503 1.85 7861 431 2 0.47 1.55
Australia 26278 71 0.27 2991 753 5 0.67 2.87
El Salvador 26206 107 0.41 3587 752 8 1.08 2.87
West Bank and Gaza 25575 433 1.72 9422 177 7 4.12 0.69
Paraguay 21871 1217 5.89 12490 412 14 3.52 1.88
Bosnia and Herzegovina 21439 297 1.40 5638 651 12 1.88 3.04
Korea, South 21177 167 0.79 5859 334 1 0.30 1.58
Lebanon 20011 521 2.67 11569 187 4 2.19 0.93
Cameroon 19604 0 0.00 1135 415 0 0.00 2.12
Cote d’Ivoire 18472 203 1.11 1479 119 0 0.00 0.64
Denmark 18163 189 1.05 2296 627 0 0.00 3.45
Libya 17094 649 3.95 9356 272 10 3.82 1.59
Bulgaria 17050 96 0.57 2717 671 6 0.90 3.94
Madagascar 15269 82 0.54 1545 199 1 0.51 1.30
North Macedonia 14998 127 0.85 2345 614 5 0.82 4.09
Senegal 13948 67 0.48 1916 290 1 0.35 2.08
Sudan 13407 218 1.65 1196 832 9 1.09 6.21
Zambia 12709 70 0.55 3523 292 0 0.00 2.30
Kosovo 12683 0 0.00 1408 488 0 0.00 3.85
Croatia 11739 311 2.72 5319 197 2 1.03 1.68
Greece 11386 186 1.66 4528 280 1 0.36 2.46
Norway 11296 65 0.58 1331 264 0 0.00 2.34
Congo (Kinshasa) 10178 29 0.29 540 259 0 0.00 2.54
Albania 10102 135 1.35 2842 312 6 1.96 3.09

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 735314 4652 0.64 117320 13709 71 0.52 1.86 18609.79 346.96 1 in 54
Texas 655815 4465 0.69 109263 13576 150 1.12 2.07 22617.52 468.20 1 in 44
Florida 643867 3656 0.57 74230 11811 61 0.52 1.83 29978.34 549.92 1 in 33
New York 438772 801 0.18 13871 32987 5 0.02 7.52 22554.84 1695.68 1 in 44
Georgia 281548 2194 0.79 46380 5977 46 0.78 2.12 26517.55 562.94 1 in 38
Illinois 250102 2804 1.13 44251 8385 23 0.28 3.35 19736.86 661.70 1 in 51
Arizona 205517 836 0.41 12863 5207 36 0.70 2.53 26988.82 683.79 1 in 37
New Jersey 193747 325 0.17 6305 15985 7 0.04 8.25 21812.98 1799.67 1 in 46
North Carolina 175815 1562 0.90 32111 2889 50 1.76 1.64 16763.31 275.46 1 in 60
Tennessee 162362 1765 1.10 30615 1862 25 1.36 1.15 23760.85 272.49 1 in 42
Louisiana 151473 0 0.00 14736 5035 0 0.00 3.32 32583.29 1083.08 1 in 31
Pennsylvania 143280 785 0.55 14749 7750 15 0.19 5.41 11192.01 605.37 1 in 89
Alabama 131803 1410 1.08 24223 2275 9 0.40 1.73 26881.10 463.98 1 in 37
Ohio 129785 1341 1.04 22111 4256 8 0.19 3.28 11103.08 364.10 1 in 90
Virginia 125681 943 0.76 19931 2677 15 0.56 2.13 14724.47 313.63 1 in 68
South Carolina 124289 964 0.78 18407 2877 31 1.09 2.31 24139.81 558.78 1 in 41
Massachusetts 122196 438 0.36 -1003 9116 16 0.18 7.46 17583.42 1311.75 1 in 57
Michigan 117191 896 0.77 15409 6806 8 0.12 5.81 11734.52 681.50 1 in 85
Maryland 111607 776 0.70 11914 3796 7 0.18 3.40 18460.62 627.89 1 in 54
Indiana 98961 1077 1.10 19285 3362 12 0.36 3.40 14699.61 499.39 1 in 68
Missouri 93171 1943 2.13 26167 1668 61 3.80 1.79 15180.79 271.78 1 in 66
Mississippi 86478 539 0.63 14723 2569 11 0.43 2.97 29057.01 863.20 1 in 34
Wisconsin 80300 946 1.19 15244 1168 15 1.30 1.45 13791.48 200.60 1 in 73
Minnesota 79880 914 1.16 15467 1903 4 0.21 2.38 14164.04 337.43 1 in 71
Washington 76836 501 0.66 9951 1953 0 0.00 2.54 10090.23 256.47 1 in 99
Nevada 71102 390 0.55 10494 1388 13 0.95 1.95 23083.90 450.63 1 in 43
Iowa 69690 946 1.38 17625 1164 6 0.52 1.67 22088.26 368.93 1 in 45
Arkansas 64690 515 0.80 12698 882 9 1.03 1.36 21435.97 292.26 1 in 47
Oklahoma 63187 1147 1.85 15389 850 4 0.47 1.35 15968.53 214.81 1 in 63
Colorado 58966 699 1.20 6147 1971 16 0.82 3.34 10239.40 342.26 1 in 98
Utah 54272 433 0.80 7951 420 1 0.24 0.77 16928.48 131.01 1 in 59
Connecticut 53365 0 0.00 2468 4468 0 0.00 8.37 14967.94 1253.20 1 in 67
Kentucky 52464 787 1.52 13534 993 6 0.61 1.89 11743.03 222.26 1 in 85
Kansas 45656 291 0.64 11771 480 2 0.42 1.05 15671.50 164.76 1 in 64
Nebraska 35805 144 0.40 5564 404 0 0.00 1.13 18509.54 208.85 1 in 54
Puerto Rico 34492 251 0.73 8797 464 9 1.98 1.35 10800.03 145.29 1 in 93
Idaho 33474 281 0.85 5999 384 2 0.52 1.15 18679.01 214.28 1 in 54
Oregon 27856 255 0.92 4838 480 5 1.05 1.72 6604.49 113.81 1 in 151
New Mexico 26048 146 0.56 2746 800 6 0.76 3.07 12422.57 381.53 1 in 80
Rhode Island 22243 0 0.00 1908 1055 0 0.00 4.74 20996.62 995.88 1 in 48
Delaware 17892 140 0.79 1496 608 2 0.33 3.40 18374.06 624.38 1 in 54
South Dakota 14889 293 2.01 4771 173 3 1.76 1.16 16830.21 195.56 1 in 59
District of Columbia 14238 52 0.37 1079 611 0 0.00 4.29 20174.31 865.75 1 in 50
North Dakota 13334 361 2.78 4890 155 5 3.33 1.16 17497.26 203.40 1 in 57
West Virginia 11293 251 2.27 2831 246 1 0.41 2.18 6319.01 137.65 1 in 158
Hawaii 9693 220 2.32 4868 84 3 3.70 0.87 6845.96 59.33 1 in 146
Montana 8164 145 1.81 2505 116 2 1.75 1.42 7638.63 108.54 1 in 131
New Hampshire 7424 56 0.76 444 432 0 0.00 5.82 5459.98 317.71 1 in 183
Alaska 5677 93 1.67 1521 42 2 5.00 0.74 7760.29 57.41 1 in 129
Maine 4633 0 0.00 489 134 0 0.00 2.89 3446.63 99.69 1 in 290
Wyoming 3990 0 0.00 763 42 0 0.00 1.05 6894.06 72.57 1 in 145
Vermont 1647 5 0.30 138 58 0 0.00 3.52 2639.47 92.95 1 in 379

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 11916323 735314 6.17 2235212 117320 5.25 301585.7
2 Texas 5183948 655815 12.65 862272 109263 12.67 178782.2
3 Florida 4763807 643867 13.52 561082 74230 13.23 221802.1
4 New York 8710614 438772 5.04 1720110 13871 0.81 447764.5
5 Georgia 2460729 281548 11.44 472663 46380 9.81 231763.3
6 Illinois 4373804 250102 5.72 1042710 44251 4.24 345159.9
7 Arizona 1252775 205517 16.40 175584 12863 7.33 164516.4
8 New Jersey 2965047 193747 6.53 503664 6305 1.25 333819.4
9 North Carolina 2410871 175815 7.29 507470 32111 6.33 229867.6
10 Tennessee 2310324 162362 7.03 480566 30615 6.37 338104.1
11 Louisiana 1932644 151473 7.84 295632 14736 4.98 415730.2
12 Pennsylvania 1727706 143280 8.29 284022 14749 5.19 134956.1
13 Alabama 977973 131803 13.48 140956 24223 17.18 199456.7
14 Ohio 2377910 129785 5.46 575560 22111 3.84 203429.7
15 Virginia 1657556 125681 7.58 320316 19931 6.22 194195.1
16 South Carolina 993927 124289 12.50 133527 18407 13.79 193043.7
17 Massachusetts 1841675 122196 6.64 407174 -1003 -0.25 265008.2
18 Michigan 2919002 117191 4.01 627223 15409 2.46 292284.3
19 Maryland 1384455 111607 8.06 256803 11914 4.64 228999.0
20 Indiana 1129078 98961 8.76 231463 19285 8.33 167712.6
21 Missouri 1038301 93171 8.97 202860 26167 12.90 169175.3
22 Mississippi 597399 86478 14.48 77634 14723 18.96 200728.9
23 Wisconsin 1302741 80300 6.16 178075 15244 8.56 223745.1
24 Minnesota 1177800 79880 6.78 193327 15467 8.00 208843.4
25 Washington 1534090 76836 5.01 517844 9951 1.92 201459.2
26 Nevada 613004 71102 11.60 70154 10494 14.96 199017.2
27 Iowa 648511 69690 10.75 102437 17625 17.21 205545.7
28 Arkansas 765411 64690 8.45 177151 12698 7.17 253630.0
29 Oklahoma 923273 63187 6.84 168856 15389 9.11 233328.2
30 Colorado 1040752 58966 5.67 191957 6147 3.20 180725.8
31 Utah 683965 54272 7.93 89064 7951 8.93 213341.9
32 Connecticut 1237658 53365 4.31 299968 2468 0.82 347141.2
33 Kentucky 871819 52464 6.02 159843 13534 8.47 195139.4
34 Kansas 427205 45656 10.69 84162 11771 13.99 146638.8
35 Nebraska 375524 35805 9.53 57841 5564 9.62 194128.6
37 Idaho 265645 33474 12.60 44633 5999 13.44 148234.0
38 Oregon 580107 27856 4.80 95228 4838 5.08 137539.9
39 New Mexico 782044 26048 3.33 123002 2746 2.23 372965.1
40 Rhode Island 557522 22243 3.99 327657 1908 0.58 526281.4
41 Delaware 248632 17892 7.20 39871 1496 3.75 255330.9
42 South Dakota 153907 14889 9.67 26458 4771 18.03 173973.2
43 District of Columbia 307864 14238 4.62 68648 1079 1.57 436223.1
44 North Dakota 209499 13334 6.36 31354 4890 15.60 274910.7
45 West Virginia 453481 11293 2.49 103237 2831 2.74 253745.8
46 Hawaii 221391 9693 4.38 65125 4868 7.47 156363.7
47 Montana 261050 8164 3.13 60114 2505 4.17 244250.9
48 New Hampshire 218745 7424 3.39 35368 444 1.26 160876.1
49 Alaska 385002 5677 1.47 88325 1521 1.72 526286.2
50 Maine 291975 4633 1.59 84621 489 0.58 217209.0
51 Wyoming 78318 3990 5.09 18282 763 4.17 135320.6
52 Vermont 143088 1647 1.15 32791 138 0.42 229311.7

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 907212 23350 2.64 644400 71.03 235857 26604 328 1.25 2.93
Andhra Pradesh 498125 10794 2.21 394019 79.10 99689 4417 70 1.61 0.89
Tamil Nadu 463480 5783 1.26 404186 87.21 51455 7839 88 1.14 1.69
Karnataka 398551 9319 2.39 292873 73.48 99266 6393 95 1.51 1.60
Uttar Pradesh 266283 6518 2.51 200738 75.39 61625 3920 77 2.00 1.47
Delhi 191449 3256 1.73 165973 86.69 20909 4567 29 0.64 2.39
West Bengal 180788 3087 1.74 154008 85.19 23218 3562 52 1.48 1.97
Bihar 147658 1797 1.23 130300 88.24 16603 754 4 0.53 0.51
Telangana 140969 0 0.00 107530 76.28 32553 886 0 0.00 0.63
Assam 125460 1537 1.24 96824 77.18 28273 360 8 2.27 0.29
Odisha 124031 3810 3.17 96364 77.69 27068 599 8 1.35 0.48
Gujarat 104341 1335 1.30 84858 81.33 16377 3106 14 0.45 2.98
Rajasthan 90956 1593 1.78 74861 82.30 14958 1137 15 1.34 1.25
Kerala 87842 3082 3.64 64751 73.71 22677 348 10 2.96 0.40
Haryana 76549 2277 3.07 60051 78.45 15692 806 25 3.20 1.05
Madhya Pradesh 73574 1694 2.36 55887 75.96 16115 1572 29 1.88 2.14
Punjab 63473 1946 3.16 45455 71.61 16156 1862 54 2.99 2.93
Jharkhand 51063 1266 2.54 36184 70.86 14410 469 7 1.52 0.92
Chhattisgarh 45263 2100 4.87 21198 46.83 23685 380 24 6.74 0.84
Jammu and Kashmir 43557 1316 3.12 32327 74.22 10446 784 14 1.82 1.80
Uttarakhand 24629 668 2.79 16573 67.29 7640 341 11 3.33 1.38
Goa 20829 374 1.83 15839 76.04 4754 236 7 3.06 1.13
Puducherry 17032 466 2.81 11632 68.29 5086 314 16 5.37 1.84
Tripura 15127 603 4.15 8745 57.81 6217 144 8 5.88 0.95
Himachal Pradesh 7415 397 5.66 5138 69.29 2175 54 1 1.89 0.73
Manipur 7022 139 2.02 5164 73.54 1820 38 2 5.56 0.54
Chandigarh 5763 261 4.74 3439 59.67 2250 71 2 2.90 1.23
Arunachal Pradesh 5000 86 1.75 3472 69.44 1520 8 0 0.00 0.16
Nagaland 4178 50 1.21 3496 83.68 662 8 0 0.00 0.19
Andaman and Nicobar Islands 3332 40 1.22 2951 88.57 331 50 0 0.00 1.50
Ladakh 3036 40 1.34 2151 70.85 850 35 0 0.00 1.15
Meghalaya 3005 89 3.05 1556 51.78 1433 16 1 6.67 0.53
Dadra and Nagar Haveli and Daman and Diu 2567 36 1.42 2251 87.69 290 2 0 0.00 0.08
Sikkim 1910 9 0.47 1371 71.78 534 5 0 0.00 0.26
Mizoram 1093 0 0.00 732 66.97 361 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1694925 101507 388 0.38 5.99 245 23 7922 16877 16.63
Piemonte 609316 33200 54 0.16 5.45 106 7 1685 4150 12.50
Emilia-Romagna 952511 32504 133 0.41 3.41 122 12 3251 4463 13.73
Veneto 1627493 23765 188 0.80 1.46 79 9 2877 2130 8.96
Toscana 576120 12292 113 0.93 2.13 69 8 1889 1143 9.30
Lazio 639909 11929 158 1.34 1.86 344 11 3807 880 7.38
Liguria 249281 11181 95 0.86 4.49 54 7 707 1573 14.07
Campania 449451 7768 119 1.56 1.73 207 6 2844 448 5.77
Marche 212769 7343 32 0.44 3.45 13 1 369 988 13.45
Puglia 323322 5796 55 0.96 1.79 148 7 1122 562 9.70
P.A. Trento 194041 5299 53 1.01 2.73 6 0 276 405 7.64
Sicilia 370480 4679 114 2.50 1.26 88 12 1343 289 6.18
Friuli Venezia Giulia 341393 3903 49 1.27 1.14 15 3 445 349 8.94
Abruzzo 164140 3865 13 0.34 2.35 32 2 483 472 12.21
P.A. Bolzano 143127 2996 23 0.77 2.09 8 2 218 292 9.75
Sardegna 145688 2486 65 2.68 1.71 44 8 1070 136 5.47
Umbria 164208 1890 16 0.85 1.15 13 2 337 81 4.29
Calabria 164442 1596 19 1.20 0.97 20 0 325 98 6.14
Valle d’Aosta 25492 1249 0 0.00 4.90 1 0 34 146 11.69
Basilicata 59354 555 7 1.28 0.94 3 1 115 28 5.05
Molise 34939 534 0 0.00 1.53 3 0 75 23 4.31

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 63292 175 0.28 5769 2 0.03 9.11 7413.26 675.71 1 in 135
Ontario 45019 167 0.37 2859 0 0.00 6.35 3060.06 194.33 1 in 327
Alberta 14474 0 0.00 242 0 0.00 1.67 3279.75 54.84 1 in 305
British Columbia 6162 0 0.00 211 0 0.00 3.42 1205.65 41.28 1 in 829
Saskatchewan 1643 5 0.31 24 0 0.00 1.46 1390.41 20.31 1 in 719
Manitoba 1294 21 1.65 16 0 0.00 1.24 939.37 11.62 1 in 1065
Nova Scotia 1085 0 0.00 65 0 0.00 5.99 1110.02 66.50 1 in 901
Newfoundland and Labrador 270 1 0.37 3 0 0.00 1.11 517.87 5.75 1 in 1931
New Brunswick 192 0 0.00 2 0 0.00 1.04 246.16 2.56 1 in 4062
Prince Edward Island 47 1 2.17 0 0 NaN 0.00 297.17 0.00 1 in 3365
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4857 94 1.94
Guangdong 1763 8 0.45
Zhejiang 1278 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Shanghai 918 7 0.76
Xinjiang 902 3 0.33
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 656 3 0.46
Chongqing 583 6 1.03
Fujian 386 1 0.26
Shaanxi 377 3 0.80
Hebei 365 6 1.64
Liaoning 263 2 0.76
Inner Mongolia 261 1 0.38
Guangxi 257 2 0.78
Tianjin 231 3 1.30
Shanxi 203 0 0.00
Yunnan 201 2 1.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 19086.09 576.22 1 in 52
Brazil 19699.00 602.98 1 in 51
India 3072.30 52.75 1 in 325
Russia 7038.97 122.54 1 in 142
Peru 21039.73 918.68 1 in 48
Colombia 13247.50 425.64 1 in 75
South Africa 11228.56 260.56 1 in 89
Mexico 4871.59 521.10 1 in 205
Spain 10694.15 630.48 1 in 94
Argentina 10657.47 219.99 1 in 94
Chile 23292.74 639.94 1 in 43
Iran 4739.60 272.97 1 in 211
France 5183.86 458.73 1 in 193
United Kingdom 5215.43 626.70 1 in 192
Bangladesh NA NA 1 in NA
Saudi Arabia 9712.57 122.92 1 in 103
Pakistan 1512.82 32.18 1 in 661
Turkey 3442.99 81.92 1 in 290
Italy 4569.08 587.53 1 in 219
Iraq 6708.10 193.94 1 in 149

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 247542 6000 2.42
Miami-Dade Florida 161018 2650 1.65
Maricopa Arizona 135856 3088 2.27
Cook Illinois 130616 5092 3.90
Harris Texas 110762 2327 2.10
Dallas Texas 73453 1002 1.36
Broward Florida 73112 1215 1.66
Queens New York 70549 7234 10.25
Kings New York 65540 7293 11.13
Clark Nevada 60819 1203 1.98
Riverside California 53987 1067 1.98
Bronx New York 51860 4918 9.48
Orange California 49509 1051 2.12
San Bernardino California 49325 765 1.55
Bexar Texas 47315 1159 2.45
Suffolk New York 45200 2005 4.44
Nassau New York 45115 2198 4.87
Palm Beach Florida 42905 1162 2.71
Tarrant Texas 42798 636 1.49
San Diego California 40342 704 1.75
Hillsborough Florida 38262 559 1.46
Westchester New York 37205 1452 3.90
Orange Florida 36966 387 1.05
Philadelphia Pennsylvania 34445 1759 5.11
New York New York 32372 3172 9.80
Wayne Michigan 31958 2896 9.06
Kern California 29858 296 0.99
Hidalgo Texas 28369 1250 4.41
Shelby Tennessee 27631 400 1.45
Duval Florida 27544 270 0.98
Travis Texas 26931 394 1.46
Prince George’s Maryland 26858 801 2.98
Fresno California 26147 312 1.19
Mecklenburg North Carolina 26128 309 1.18
Middlesex Massachusetts 25629 2082 8.12
Fulton Georgia 25540 541 2.12
Gwinnett Georgia 25019 356 1.42
Salt Lake Utah 24761 235 0.95
Milwaukee Wisconsin 24706 502 2.03
Hennepin Minnesota 24026 889 3.70
Davidson Tennessee 24001 264 1.10
Franklin Ohio 22935 565 2.46
Suffolk Massachusetts 22623 1110 4.91
Pima Arizona 21834 596 2.73
Bergen New Jersey 21755 2037 9.36
Cameron Texas 21563 812 3.77
El Paso Texas 20850 459 2.20
Montgomery Maryland 20500 823 4.01
Essex New Jersey 20488 2120 10.35
Pinellas Florida 20355 671 3.30
St. Louis Missouri 20351 760 3.73
Hudson New Jersey 20243 1511 7.46
King Washington 20166 736 3.65
Nueces Texas 19287 373 1.93
Alameda California 19131 299 1.56
Lee Florida 19099 438 2.29
Marion Indiana 19073 750 3.93
Fairfield Connecticut 19031 1415 7.44
Fairfax Virginia 18876 562 2.98
Sacramento California 18813 327 1.74
Middlesex New Jersey 18553 1419 7.65
Oakland Michigan 18513 1171 6.33
Passaic New Jersey 18484 1248 6.75
San Joaquin California 18438 368 2.00
Essex Massachusetts 18316 1251 6.83
Santa Clara California 18190 257 1.41
Polk Florida 17693 468 2.65
Cobb Georgia 17595 401 2.28
Union New Jersey 17196 1353 7.87
Providence Rhode Island 17107 0 0.00
DeKalb Georgia 17004 313 1.84
Jefferson Louisiana 16678 553 3.32
Jefferson Alabama 16486 305 1.85
Out of GA Georgia 16333 135 0.83
Cuyahoga Ohio 16190 599 3.70
Baltimore Maryland 16081 608 3.78
Wake North Carolina 15655 210 1.34
Richmond New York 15393 1085 7.05
Stanislaus California 15277 282 1.85
DuPage Illinois 15247 539 3.54
Lake Illinois 15151 473 3.12
Fort Bend Texas 15144 247 1.63
Baltimore City Maryland 14767 469 3.18
Tulare California 14677 243 1.66
Contra Costa California 14411 186 1.29
Charleston South Carolina 14391 246 1.71
Rockland New York 14382 674 4.69
District of Columbia District of Columbia 14238 611 4.29
Tulsa Oklahoma 14123 139 0.98
Oklahoma Oklahoma 14107 165 1.17
East Baton Rouge Louisiana 14089 420 2.98
Polk Iowa 13993 243 1.74
Douglas Nebraska 13903 161 1.16
New Haven Connecticut 13793 1109 8.04
Hartford Connecticut 13635 1426 10.46
Worcester Massachusetts 13592 1059 7.79
Macomb Michigan 13190 982 7.45
Jefferson Kentucky 12818 274 2.14
Greenville South Carolina 12524 267 2.13
Yuma Arizona 12311 330 2.68

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc